MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18476
Single Precision Score
20821
Half Precision Score
17788
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Maflagulator |
| Upload Date | October 09 2024 06:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7919
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8479
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
6428
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16530
268.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17995
291.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17818
288.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
92839
108.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
95911
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
85740
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
7579
601.2 IPS |
|
|
Object Detection (HP)
|
100% |
8661
687.0 IPS |
|
|
Object Detection (Q)
|
91% |
7053
563.6 IPS |
|
|
Face Detection (SP)
|
100% |
32435
385.4 IPS |
|
|
Face Detection (HP)
|
100% |
35531
422.2 IPS |
|
|
Face Detection (Q)
|
100% |
25797
306.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38201
294.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40799
314.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
34443
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
189775
244.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206780
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
184916
238.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25371
936.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27175
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20132
743.4 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5109
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5090
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2721
47.0 IPS |
